head JofIMAB
Journal of IMAB - Annual Proceeding (Scientific Papers)
Publisher: Peytchinski Publishing
ISSN: 1312-773X (Online)
Issue: 2017, vol. 23, issue 4
Subject Area: Dental Medicine
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DOI: 10.5272/jimab.2017234.1784
Published online: 05 December 2017

Original article

J of IMAB 2017 Oct-Dec;23(4):1784-1789
NATURAL LANGUAGE PROCESSING AS A METHOD FOR EVALUATION OF FACTORS INFLUENCING SMILE ATTRACTIVENESS
Stefan ZlatevORCID logo Corresponding Autoremail, Hristo KissovORCID logo, Viktor HadzhigaevORCID logo, Ilian HristovORCID logo,
Department of Prosthetic Dentistry, Faculty of Dental Medicine, Medical University Plovdiv, Bulgaria.

ABSTRACT:
Introduction: A drastic increase in the number of published medical papers per year is observed. This makes the identification, analysis and categorization of significant studies a difficult task. Natural (human) Language Processing and text mining are methods, part of the scientific branch computer linguistics that transfer the informational overload from a human to a computer. It enables easier processing and analysis of large volumes of unstructured textual data.
Purpose: The current study aims to familiarize researchers working in the field of dentistry with the capabilities of NLP and TM for a quick and concise analysis of large volumes of unstructured textual information and identification of dependencies between different factors important for a given subject.
Materials and Methods: To demonstrate the capabilities of text mining, an important topic in the field of dentistry was chosen – factors influencing the esthetics of a smile. The analysis was carried out with “R”- a computer language for statistical processing. A literature search was conducted in the “PubMed” database with key-words – “dental, esthetic and factor”. The resulting abstracts were saved as a local copy, imported and processed. Word frequencies and associations between different terms were analyzed.
Results and discussion: Weak to moderate correlation was established between the significant, most frequent terms in the text - “esthetics, „smile“, „arc“, „buccal“, „gingival”, “lip” and “midline”./0.1<r<0.45/ Word combinations and frequencies resulting from the analysis are in agreement with other reported findings.
Conclusion: NLP and text mining are valuable tools which decrease the time necessary for analysis of large volumes of data. The results can aid further research with increased accuracy. .

Keywords: text mining, natural language processing, smile, factors, esthetics,

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Please cite this article in PubMed Style or AMA (American Medical Association) Style:
Zlatev S, Kissov H, Hadzhigaev V, Hristov I. Natural language processing as a method for evaluation of factors influencing smile attractiveness. J of IMAB. 2017 Oct-Dec;23(4):1784-1789. DOI: 10.5272/jimab.2017234.1784

Corresponding AutorCorrespondence to: Stefan Chavdarov Zlatev, Department of Prosthetic Dentistry, Faculty of Dental Medicine, Medical University - Plovdiv; 3, Hristo Botev str., 4000 Plovdiv, Bulgaria; E-mail: stefanzlatevdr@gmail.com

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Received: 21 June 2017
Published online: 05 December 2017

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